P05-09 Associations of the physical activity-related injuries with selected variables in adolescents - results of the pilot study

Abstract Background Physical activity (PA) as health promotion tool is not one without adverse effects and adolescents with nonfatal physical activity-related injuries (PARI) may experience serious health consequences for the rest of their lives. Methods As a part of the pilot study of the Health Behaviour in School-aged Children Study conducted in October and November 2021 in Slovakia, we surveyed 119 adolescents (53 girls; average age 12,6±2,0) for moderate-to-vigorous physical activity (MVPA), medically attended injuries (MAI), physical activity-related injuries in sports clubs (PARISC), physical activity-related injuries in leisure-time (PARILT) and physical activity-related injuries in schools (PARIS) and we measured their cardiorespiratory fitness (using 20-metre shuttle run) and their body composition (using InBody 230). Results Out of 119 adolescents, 50 (42%) were attending sports clubs of which 27 (54%) had one or more PARI in sports clubs' activities in previous year, 50 adolescents (42%) had PARI in leisure activities and 15 (12,6%) in school activities. PARISC led to an average of 10 missed days from school or leisure-time activities. PARILT led to 7,2 missed days and PARIS led to 6,2 missed days. Spearman's correlations (n = 50 for PARISC and n = 119 for PARILT and PARIS) revealed associations between MAI and PARISC, PARILT and PARIS, but not between MVPA or 20-metre shuttle run laps and PARISC, PARILT and PARIS. Not surprisingly, percentage of body fat was negatively associated with the number of 20-metre shuttle run laps. In addition, results of crude linear regression models showed that frequency of MVPA was not associated with frequencies of PARISC (B coefficients (B)/95% CI: 0,03/-0,11-0,18), PARILT (B/95% CI: 0,04/-0,05-0,13) or PARIS (B/95% CI: -0,02/-0,07-0,02) among Slovak adolescents in our pilot study. Conclusions Estimating the burden of PARI is important in advocating the need of directing sufficient resources to PARI prevention along with the PA promotion. Improvement and understanding of factors associated with PARI might be helpful in PARI prevention. In addition, it might, among other factors, play a role in promotion of active lifestyle in adolescence.


Background
Back pain is the most common musculoskeletal symptom. Several risk/protective factors, including sedentary behaviour, physical activity and sleep, have been proposed. Research has typically examined these time-use behaviours in isolation, ignoring the compositional nature of time-use data. The aim of this study was to determine the relationship between a 24hour activity composition and back pain in university students using compositional isotemporal substitution modelling. Methods A cross-sectional study of 135 Slovenian university students (20 AE 2 years, 70% male) assessed 24-hour time use and back pain. Volunteers completed the SIMPAQ questionnaire (asking about the activity time divided into three categories: sedentary, in bed, and physical activity) and the BackPEI questionnaire (asking about back pain in the past 3 months). The compositional isotemporal substitution analysis based on a logistic regression model was used to examine the association between the activity composition and the occurrence of back pain. The compositional isotemporal substitution analysis based on a linear regression model was used to examine the association between the activity composition and back pain intensity, for those that experienced it. Both models were adjusted for age, sex and BMI.

Results
The prevalence of back pain in the past 3 months was 62%. The 24-hour activity composition was associated with back pain intensity in the symptomatic subgroup, while no associations with the occurrence of back pain was found.
Reallocation of 30 minutes from sedentary behaviour to physical activity was associated with a mean reduction of back pain intensity by 0.1 (95% CI: 0.01 to 0.201) on a continuous 10-point Visual Analog Scale. Likewise, the opposite reallocation was associated with an increase of back pain intensity by 0.1 (95% CI: 0.003 to 0.21). No significant associations with the intensity of back pain were found for reallocations of 30 minutes to and from bed time.

Conclusion
Study findings indicate that reallocating time from sedentary behaviour to physical activity has a favourable association with back pain intensity. However, the effect size was relatively small and findings need to be interpreted with caution. Further studies including more precise measures of exposure and with larger sample sizes are warranted Abstract citation ID: ckac095.075 P05-08 Correlation between physical activity, Sleep componants and quality: In the context of type and intensity: A cross-sectional study among sudanese medical students Ahmed Abdelghyoum mahgoub 1 , Shahenaz Satti Mustafa 1 1 Faculty of Medicine, Al-Neelain University, Khartoum, Sudan Corresponding author: Aabdelghayoum@gmail.com

Background
Physical activity during the day is composed of different domains, specifically work related, transportation, and recreation, physical activity. We aimed at studying the correlation between energy expenditure and the corresponding metabolic equivalent of task and sleep in the context of type of physical activity, general level of activity as to be low, moderate and vigorous and the intensity of activity either moderate or vigorous physical activity.

Methodology
A cross-sectional study, participants were n = 273 enrolled from al-Neelain university faculty of medicine between January and April 2021 we used the global physical activity questionnaire to measure standard metabolic equivalent of task (MET) for participants for vigorous and moderate work MET, Transportation MET, Vigorous and moderate lesiure MET, and sedentary time. we used Pittsburgh sleep quality index to assess different components of sleep (subjective sleep quality, sleep latency, habitual sleep efficiency, sleep duration, sleep disturbances, use of medications, daytime dysfunction) and sleep quality.

Results
Mean of Total-MET was (3533.36min/week) predominantly moderated work-MET (33%). Poor sleepers prevalence was high (62%). Moreover there was significant difference between good and poor sleepers in moderate work MET mean

Conclusion
Our results show that poor sleep quality is primarily influenced by the type and intensity of physical activity. Eliciting a doseresponse effect of different domains, being deleterious for work related physical activity as work MET is of too low intensity or too long duration for maintaining or improving cardiorespiratory fitness and cardiovascular health subsequently imposing its deleterious effect. So in order to improve quality of life for university students, special strategies and policies that leverage 'good sleep' quality are warranted by limiting work related physical activity and adding on well structured early morning exercises for University students thus improving Abstract citation ID: ckac095.076 P05-09 Associations of the physical activity-related injuries with selected variables in adolescents -results of the pilot study

Background
Physical activity (PA) as health promotion tool is not one without adverse effects and adolescents with nonfatal physical activity-related injuries (PARI) may experience serious health consequences for the rest of their lives. Methods As a part of the pilot study of the Health Behaviour in Schoolaged Children Study conducted in October and November 2021 in Slovakia, we surveyed 119 adolescents (53 girls; average age 12,6AE2,0) for moderate-to-vigorous physical activity (MVPA), medically attended injuries (MAI), physical activity-related injuries in sports clubs (PARISC), physical activity-related injuries in leisure-time (PARILT) and physical activity-related injuries in schools (PARIS) and we measured their cardiorespiratory fitness (using 20-metre shuttle run) and their body composition (using InBody 230).

Conclusions
Estimating the burden of PARI is important in advocating the need of directing sufficient resources to PARI prevention along with the PA promotion. Improvement and understanding of factors associated with PARI might be helpful in PARI prevention. In addition, it might, among other factors, play a role in promotion of active lifestyle in adolescence.

Background
The covid-19 pandemic has had a large impact on the daily lives of adolescents, even in Sweden where the restrictions were relatively mild. The aim of this study was to examine if there had been a change in mental health outcomes and if these changes were related to changes in physical activity patterns before and during the pandemic.

Methods
In this longitudinal study, data were collected in the autumn 2019 and in follow-up measurements in the spring 2021.

Background
Physical activity (PA) in Czech children is insufficient. In the last two decades, the prevalence of physical inactivity and excessive time spent in sedentary activities has increased (Gába et al. 2019). The determinants of PA are complex and wideranging: individual, socio-demographic, interpersonal, environmental. Motor skill acquisition in early childhood may be an important prerequisite for child PA participation and engagement in PA later in life (Loprinzi et al. 2012). The aim of this study was to estimate motor competence (MC) level in a Czech school children, identify children with motor impairments and analyze the possible causes.

Methods
The research sample was made from Czech school children (n = 195, 110 girls, and 85 boys) of average age 11.96AE1.96 years. To estimate an MC, we used the Bruininks-Oseretsky Test of Motor Proficiency, Second Edition, a complete form. We evaluated total motor composite (TMC) and four subcategories: fine manual control, manual coordination, body coordination, and strength and agility.

Results
Our TMC results correspond to a secular reduction in MC. The results show that the group's MC is in the lower part of the average level (TMC standard score 45.4AE11.7). The overall percentage of children whose TMC is above the 15th percentile is 64.6%. Conversely, 35.4% of children do not meet the criterion in TMC. On average, the weakest performance was recorded in the area of fine manual control (standard score 38.2AE11.6). More indepth analysis showed that the weakest subcomponent of fine manual control was fine motor precision (scale score 9.3AE5.8) and fine motor integration (scale score 10.7AE6.1). Conclusion 24 children (12.3%) had well-below average results (TMC<5th percentile). These children are highly likely to develop a developmental coordination disorder. It is a significantly higher result than in the literature reported around 5 -6% in school-age children. 69 children (35.4%) had below-average result of TMC (TMC<15th percentile). The poor results in the fine manual